How to Run
Go to this link and download all files, make sure all files are under the same folder : https://github.com/andeerewOnGitHub/RoniBot_Final
Run app.py in VsCode
Find and run the command printed by the terminal under this string: " Warning: to view this Streamlit app on a browser, run it with the following command: "
The application should now run on your local browser!
What it does
Our dashboard shows key statistics for Roni's that provide insightful information about the business.
How We Built It
We used several libraries, such as Pandas, Matplotlib, and Numpy to produce actionable insights from complicated data and used Streamlit to create a user-centric dashboard.
Challenges we ran into
A large challenge we encountered was training the chatbot to produce insights regardless of the user prompt. Initially, the chatbot was able to make suggestions and provide data if the user guided the bot to that specific topic. However, after hours of training the chatbot with several user prompts, we eventually developed an advanced chatbot that can provide valuable insights.
Built With
- python
- streamlit


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